{"id":"W2077049770","doi":"10.1021/es102091a","title":"Characterizing Model Uncertainties in the Life Cycle of Lignocellulose-Based Ethanol Fuels","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Biofuel; Corn ethanol; Corn stover; Greenhouse gas; Life-cycle assessment; Environmental science; Ethanol fuel; Gasoline; Uncertainty analysis; Energy crop; Bioenergy; Waste management; Engineering; Production (economics); Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884413,0.0007924168,0.0004669326,0.0006428377,0.0003697923,0.001042113,0.0006416958,0.0009072138,0.0006692839],"category_scores_gemma":[0.008025873,0.0004740052,0.000844043,0.0006019406,0.0006505731,0.001389973,0.0006160811,0.0008669705,0.00008311829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009355,"about_ca_system_score_gemma":0.001049055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029948,"about_ca_topic_score_gemma":0.01443163,"domain_scores_codex":[0.9994609,0.0002288246,0.00002492882,0.0001072676,0.00009119559,0.00008699371],"domain_scores_gemma":[0.9939331,0.005037,0.0006001561,0.0001863473,0.0001722179,0.00007125654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001425061,0.000009250642,0.001947717,0.000006892914,0.00001159911,0.000011491,0.000008670224,0.9955211,0.0002246545,0.001663659,0.00003022384,0.0005505346],"study_design_scores_gemma":[0.000004444056,0.00001709086,0.0009361379,0.000002774875,0.000009876489,0.000007025977,0.00001075743,0.9950095,0.0003583033,0.003537878,0.00009919264,0.000006993635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857332,0.0002800951,0.1089255,0.0004504932,0.00001796187,0.00003523042,0.0009358689,0.0000987304,0.003522971],"genre_scores_gemma":[0.996738,0.000110147,0.002460006,0.0000187749,0.000006158796,0.00002215065,0.0003033633,0.000009499512,0.0003318362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02029948,"threshold_uncertainty_score":0.04036266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007371950718443565,"score_gpt":0.1937523979759019,"score_spread":0.1863804472574583,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}